Cache invalidation

Cache invalidation refers to the process of updating or removing cached data in a system when changes are made to the original data source. This can be done through various protocols that may or may not rely on the server keeping track of which clients are using cached data and when it was last validated. In a content management system, cache invalidation can be triggered during the content workflow to ensure that updated content is reflected in the cached data.From: The Handbook of Mobile Middleware [2019], and User Experience Platforms [2015]

Portal Integrations

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Published in Shailesh Kumar Shivakumar, and User Experience Platforms, 2015

Shailesh Kumar Shivakumar

Design for layer-wise caching to ensure optimal performance. This also includes designing optimal cache invalidation techniques. Some of the effective caching techniques for integration are as follows: Cache the service response for a fixed duration on portal end. We can design a cache invalidation service that can be invoked when the cache value is updated. For instance, we can cache the web content retrieved from content web service of CMS. When the cached content is updated, the CMS system can invoke the cache invalidation service during the content workflow.For database optimization, we can create lookup tables to store the frequently used values such as user profile information and basic product attributes. We can design database synchronization jobs to update these local lookup tables from the master tables.

A context-aware improved POR protocol for Delay Tolerant networks

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Published in Automatika, 2023

Allam Balaram, T. Sakthivel, Radha Raman Chandan

Figure 10 portrays the overhead results of STAP, IOR, and I-PRoPHET evaluated by varying the cache space from 50 Mbytes to 250 Mbytes. All protocols decrease the overhead by varying the cache space from low to high, as the packet retransmission rate is low due to high cache space. Additionally, the STAP utilizes an improved cache invalidation scheme which invalidates the message copies using some application-specific parameters and maximizes the cache efficiency even if the cache space is minimum. For example, the overhead of STAP, IOR, and I-PRoPHET are 0.35, 0.43, and 0.36, respectively, when node cache space is 50 Mbytes.

Cache invalidation

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Portal Integrations

A context-aware improved POR protocol for Delay Tolerant networks